#collider-club

This is a collection of pointers to datasets/tasks/benchmarks pertaining to the intersection of machine learning and law. Use it to navigate the topic and choose relevant methods, papers or tools.

Collection of post-quantum cryptographic algorithms for the ARM Cortex-M4. Use it to navigate the topic and choose relevant methods, papers or tools.

A developer tool for inspecting Model Context Protocol (MCP) servers. It ships as a single package, @modelcontextprotocol/inspector, that provides three ways to inspect a server:. Use it to ground design choices in named patterns, trade-offs and examples.

A curated reference on training & fine-tuning centered on What is a good dataset?. Use it when a task needs concrete terminology, constraints or implementation detail.

eBPF is a technology that can run sandboxed programs in the Linux kernel without changing kernel source code or loading kernel modules. By making the Linux kernel programmable, infrastructure software can leverage existing layers, making them more intelligent and feature-rich wit. Use it as a repeatable review, validation or hardening pass.

A guide for getting started with Self Hosting devices including software and hardware that will make you a better and more efficient Self Hosting. Use it to make implementation decisions and avoid common dead ends.

Digital Forensics is the process of recovering and preserving material found on digital devices during the course of criminal investigations. Digital forensics tools include hardware and software tools used by law enforcement to collect and preserve digital evidence and support o. Use it to build a structured path from fundamentals to hands-on practice.

We are excited to announce the release of RD-Agent 📢, a powerful tool that supports automated factor mining and model optimization in quant investment R&D. Use it to navigate the topic and choose relevant methods, papers or tools.

MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines. To this end, it is most comparable to textract, but with a focus on preserving important document structure and content as Markdown (includin. Use it to build a structured path from fundamentals to hands-on practice.

Policy enforcement, identity, sandboxing, and SRE for autonomous AI agents. One pip install, any framework. Use it as a repeatable review, validation or hardening pass.

The official repository which contains the code and pre-trained models for our paper TAPEX: Table Pre-training via Learning a Neural SQL Executor. Use it to navigate the topic and choose relevant methods, papers or tools.

let allows you to create declarations which are bound to any block, called block scoping. Instead of using var, which provides function scope, it is recommended to use block scoped variables (let or const) in ES6. Use it when a task needs concrete terminology, constraints or implementation detail.

Tool for generating high-quality synthetic datasets to fine-tune LLMs. Use it to navigate the topic and choose relevant methods, papers or tools.

Pick a template, see what it does, get a Dockerfile + docker-compose + bot + README you can run anywhere. Use it as a repeatable review, validation or hardening pass.

Howdy! I'm Matt Mazur and I'm a data analyst who has worked at several startups to help them use data to grow their businesses. This guide is an attempt to document my preferences for formatting SQL in the hope that it may be of some use to others. If you or your team do not alre. Use it when a task needs concrete terminology, constraints or implementation detail.

Zero-Knowledge Proofs Starter Pack: alternative introductory list for beginners (more videos). Use it to build a structured path from fundamentals to hands-on practice.

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI. Under real workloads, Mooncake’s innovative architecture enables Kimi to handle 75% more requests while adhering to SLOs. Use it to ground design choices in named patterns, trade-offs and examples.

LLMTools is a user-friendly library for running and finetuning LLMs in low-resource settings. Features include: 🔨 LLM finetuning in 2-bit, 3-bit, 4-bit precision using the ModuLoRA algorithm 🐍 Easy-to-use Python API for quantization, inference, and finetuning 🤖 Modular supp. Use it to navigate the topic and choose relevant methods, papers or tools.

A curated list of papers and datsets for various audio-visual tasks, inspired by awesome-computer-vision. Use it to navigate the topic and choose relevant methods, papers or tools.

Here you'll find implementations of popular algorithms and data structures in everyone's favorite new language Swift, with detailed explanations of how they work. Use it to ground design choices in named patterns, trade-offs and examples.